Mobile carrier-centric data record custodian systems and methods

ABSTRACT

A system for mobile carrier-centric data record custodians is provided and includes cellular network interfaces that transmit and receive wireless communication over a cellular network, an electronic medical record (EMR) database that stores EMRs, and a mobile account management server coupled with the cellular network interfaces and the EMR database, the mobile account management server receiving an EMR request associated with a mobile user account over the cellular network, querying the EMR database for a results set having EMRs satisfying the query, generating a plurality of EMR responses to the EMR request as a function of the results set and state information associated with the cellular network, and transmitting the plurality of EMR responses over the plurality of cellular network interfaces to the mobile device via the cellular network, the plurality of EMR responses being formatted for wireless protocols of the cellular network interfaces over which they are transmitted.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefit of priority under 35 U.S.C. § 119(e)to U.S. Provisional Patent Application Ser. No. 62/043,847, filed onAug. 29, 2014 and entitled MOBILE CARRIER-CENTRIC DATA RECORD CUSTODIANSYSTEMS AND METHODS, the disclosure of which is hereby incorporated byreference in its entirety.

TECHNICAL FIELD

This disclosure relates in general to the field of healthcare systemsand, more particularly, to systems and methods related to mobilecarrier-centric data record custodians.

BACKGROUND

The background description includes information that may be useful inunderstanding the present disclosure. It is not an admission that any ofthe information provided herein is prior art or relevant to thedisclosure, or that any publication specifically or implicitlyreferenced is prior art.

Electronic medical record (EMR) ecosystems are heavily burdened byjurisdictional regulations, complicated standards, or proprietaryformats all of which represent good intentions that has been implementedfor the sake of the patient or other consumer. Unfortunately theseefforts have created a complicated, tangled web of EMR data beyond theability of non-technical consumers to manage. For example, a patient'sEMRs could be located across myriad servers, stored in differentformats, or are just inaccessible to the patient because that patientlacks authorization to access the patient's own data on a server ownedby others (e.g., personal physicians, pharmacies, hospitals, insurancecompanies, etc.). Thus, a patient is unable to collect the patient's owndata or share the patient's own information with other healthcarestakeholders.

A great deal of effort has been directed to creating centralized or evendecentralized EMR management systems to ease access to patient data.Interestingly, the problem with EMR data management is not just a globalecosystem issue, but also infects departments within individualhealthcare organizations. For example, one such centralized efforttargets collecting healthcare data from disparate clinical systems of ahealthcare organization into a centralized location. In such anapproach, the patient lacks easy access to the patient's data andhealthcare stakeholders outside an individual healthcare organizationlacks easy access to the patient's data.

A better approach would place the patient in a more central role in themanagement of the patient's own data. Still, migration toward apatient-centric system has been slow, although there has been someprogress toward allowing patient's to conduct some level of healthcareinteractions via mobile phones. For example, a virtual pharmacy canfacilitate interaction with a patient through a mobile phoneapplication. Although patient can access the virtual pharmacy, thevirtual pharmacy remains the central point of communication amongstakeholders with respect to the patient's pharmacy needs. Such anapproach fails to provide guidance toward facilitating access to apatient's EMR data no matter the affiliation of the stakeholder.

From the perspective of a private practice, practices can distributeEMRs to mobile devices. In various known examples, one or more practicesoperate as a hub for EMR data among stakeholders. EMR information may bepresented on a cell phone, but such approaches fail to appreciate thecomplexity that could be involved with healthcare transactions in apatient centric model, especially when multiple practices are involved.

One aspect of the complexity of managing healthcare transactionsincludes making payments with respect to healthcare services. Forexample, a known healthcare payment system collects a price list for oneor more healthcare services offered by a provider and transmits theprice list to a mobile device of the patient. Upon authorization by thepatient, the healthcare payment system renders payment via one or morefunding source accounts. Although the approach provides some flexibilityto the patient, the healthcare payment system becomes another layer ofcomplexity in the ecosystem, which further distances a patient fromaccess to the patient's data.

In a somewhat similar approach, payment is authorized for medicalservices via a mobile device via an “H-Wallet”. Another approachprovides an intermediary service that manages a user's request forpayment of a healthcare bill. In both cases, the healthcare paymentsystems function as an intermediary; yet another layer of complexity.

Although the examples listed above seek to improve a user's experiencewith respect to the management of healthcare data via a mobile phone,they all introduce additional layers of complexity that further distancea patient from the patient's healthcare data. The approaches above failto take into account possible shifts in the healthcare market wherehealthcare services become heavily commoditized or are provided as aretail service. In such a retail market environment, there will belittle tolerance for numerous layers of complexity. Rather, the patientmay have to take on a greater role with respect to being the central hubfor the patient's healthcare data. Still, the patient may desire someform of healthcare custodian.

A healthcare data custodial ecosystem as described herein according tovarious embodiments that can be provided by one or more mobile carriers.In such scenarios the mobile carriers operates as a healthcare datacustodian and can provide direct access to EMR data to the patient orother stakeholders without intermediaries or complexity. Thus, thereremains a need to provide data custodial services via one or more mobilecarriers.

Note that all publications identified herein are incorporated byreference to the same extent as if each individual publication or patentapplication were specifically and individually indicated to beincorporated by reference. Where a definition or use of a term in anincorporated reference is inconsistent or contrary to the definition ofthat term provided herein, the definition of that term provided hereinapplies and the definition of that term in the reference does not apply.

SUMMARY

A mobile carrier-centric data record custodian system comprises aplurality of cellular network interfaces configured to transmit andreceive wireless communication over a cellular network, an electronicmedical record (EMR) database configured to store a plurality EMRsindexed at least according to mobile user accounts, and a mobile accountmanagement server coupled with the cellular network interfaces and theEMR database. The mobile account management server receives an EMRrequest associated with at least one mobile user account over thecellular network, queries the EMR database for a results set having EMRssatisfying the query and as a function of the mobile user account,generates a plurality of EMR responses to the EMR request as a functionof the results set and state information associated with a mobiledevice, the cellular network, and the mobile user account, and transmitsthe plurality of EMR responses over the plurality of cellular networkinterfaces to the mobile device via the cellular network, each one ofthe plurality of EMR responses being formatted for a specific wirelessprotocol corresponding to a respective cellular network interface overwhich it is transmitted.

The cellular network interface couples with one or more of variouswireless networks, including GSM, EDGE, HSPA, HSPA+, TD-LTE, CDMA, UMTS,WiMAX, EVDO, and WiFi, with different cellular network interfacescoupling with correspondingly different wireless networks. Examples ofthe mobile device include a smart phone, a vehicle, a robot, a tablet, amedical device, a sensor, a device server, a point of sales terminal, akiosk, a vehicle, and a tablet. Note that in some embodiments, the EMRdatabase may be coupled with the plurality of cellular networkinterfaces.

In some embodiments, the EMR database includes a clinical operatingsystem (cOS) service. In some embodiments, the mobile account managementserver itself includes a clinical operating system. In such embodiments,the EMR request adheres to a protocol of the clinical operating system.For example, the EMR request can include one or more of a monitoringservice request, an alert request, a workflow request, a businessservice request, a routing services request, a validation request, adiscovery service request, a consent services request, and an eventservices request. The mobile account management server may be furtherconfigured to provide access to the clinical operating system via anapplication program interface (API). The API may be published via atleast one of the plurality of cellular network interfaces. In someembodiments, the API may include a web service API.

In some embodiments, the EMR request may include a healthcare servicestransaction, for example, a request for a service, a location of aservice, a cost of a service, a service authorization, a serviceauthentication, a healthcare provider request, and a serviceadjudication. In some embodiments, the EMR request may include ahealthcare goods transaction, for example, a healthcare productpurchase, a prescription, and a healthcare product lease. In someembodiments, the EMR request may include a records transaction, forexample, a record write transaction, a record read transaction, a recordcreate transaction, a record delete transaction, and a record modifytransaction.

In some embodiments, the EMR request may include healthcare contextdata, for example, including a contextual representation of the mobiledevice, a patient, a healthcare provider, a service, a product, alocation, or an event. In such embodiments, the mobile accountmanagement server may be configured to generate the plurality of EMRresponses as a function of the healthcare context data. Examples ofhealthcare context data includes an absolute location of the mobiledevice, a relative location of the mobile device, a time of the EMRrequest, a patient identifier, a healthcare provider identifier, aweather condition at a location of the mobile device, a trafficcondition around a location of the mobile device, an urgency, apriority, a certification requirement, a relationship requirement, etc.

In some embodiments, the EMRs include patient records. In otherembodiments, the EMRs include healthcare provider records. In yet otherembodiments, the EMRs include employer healthcare records. In yet otherembodiments, the EMRs include employee healthcare records. In someembodiments, at least one of the EMR responses includes a paymentauthorization request associated with the mobile user account. In otherembodiments, at least one of the EMR responses can include a payment toan account associated with the mobile device.

In some embodiments, the EMR database may be configured to store theplurality of EMRs according to a secured format, for example, thatadheres to a cryptographic standard and depends on the mobile useraccount. The secured format may also, or alternatively, adhere to asecure function that depends on a patient's authentication key. In someembodiments, the secured format may include a homomorphic encryptionformat. In some embodiments, an analytics engine may be coupled with themobile account management server, for example, to compile analyticsbased on the results set and wherein the plurality of EMR responsesincludes the analytics.

BRIEF DESCRIPTION OF THE DRAWINGS

To provide a more complete understanding of the present disclosure andfeatures and advantages thereof, reference is made to the followingdescription, taken in conjunction with the accompanying figures, whereinlike reference numerals represent like parts, in which:

FIG. 1 is a simplified block diagram illustrating a system related topatient mobile carrier-centric data record custodians according to anexample embodiment;

FIG. 2 is a simplified block diagram illustrating example details of thesystem according to an embodiment;

FIG. 3 is a simplified block diagram illustrating example details of thesystem according to an embodiment;

FIG. 4 is a simplified block diagram illustrating example details of thesystem according to an embodiment;

FIG. 5 is a simplified block diagram illustrating example details of thesystem according to an embodiment;

FIG. 6 is a simplified block diagram illustrating example details of thesystem according to an embodiment;

FIG. 7 is a simplified flow diagram illustrating example operations thatmay be associated with an embodiment of the system; and

FIG. 8 is a simplified flow diagram illustrating other exampleoperations that may be associated with an embodiment of the system.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

Turning to FIG. 1, FIG. 1 is a simplified block diagram illustrating asystem 100 related to mobile carrier centric data custodians accordingto an example embodiment. FIG. 1 presents a schematic overview of ahealthcare custodian ecosystem where data record custodian system 100 ishosted or otherwise managed by a mobile carrier (e.g., mobile networkoperator, wireless service provider, mobile network carrier, cellularcompany). Data record custodian system 100 includes EMR database 140storing EMRs associated with mobile users. Data record custodian system100 brokers access to the EMRs via mobile account management server 150,for example, in response to one or more EMR requests made by variousstakeholders, such as a patient 112 or a healthcare provider 122. One ofthe advantages of having a mobile carrier or mobile provider operate asan EMR custodian, such as data record custodian system 100, is thatpatient 112 can authorize healthcare payments via mobile accounts (e.g.,cell phone accounts, wireless carrier accounts). The mobile carrier canprovide a single itemized bill to patient 112 listing mobile charges andhealthcare charges.

Data record custodian system 100 comprises a mobile carrier system(operated by a mobile carrier, mobile provider, etc.) that includes oneor more cellular network interface 130, one or more mobile accountmanagement server 150, and one or more EMR database 140. Cellularnetwork interface 130 comprises physical communication componentsconfigured to couple with at least one or more mobile device 110 overcellular network 115. Example cellular networks 115 can include GlobalSystem for Mobile Communications (GSM™), EDGE® (Enhanced GPRS), HighSpeed Packet Access (HSPA), HSPA+, Code Division Multiple Access (CDMA),time division Long-Term Evolution (TD-LTE), Universal MobileTelecommunications System (UMTS), Evolution Data Only (EVDO), or othertype of cellular network. The nature of cellular network 115 can dependon where data record custodian system 100 is deployed. For example, ifdata record custodian system 100 is deployed in India, cellular network115 could operate one or more of the following technologies: GSM, EDGE,HSPA, HSPA+, TD-LTE, or other operating network technology. In someembodiments, cellular network interface 130 may not be required todirectly connect to cellular network 115. For example, cellular networkinterface 130 could indirectly interface to cellular network 115 viaalternative network technologies, such as wireless (e.g., WiFi, WiMAX,etc.) or wired (e.g., Ethernet, ATM, PSTN, etc.).

Mobile device 110 and remote device 120 comprise computing devicescapable of communicating with mobile account management server 150 overcellular network 115. From the perspective of patient 112, mobile device110 could include a suitably provisioned smart phone, for example,provisioned with an application (‘app’) that configures the smart phoneto interact with mobile account management server 150. In variousembodiments, mobile device 110 or remote device 120 may comprise otherpatient-centric devices such as, by way of examples and not aslimitations, a vehicle (e.g., ambulance, etc.), a healthcare roboticassistant, a medical device (e.g., blood pressure monitor, EKG, EEG,etc.), a sensor (e.g., Pulse-Oximeter, thermometer, galvanometer, etc.),a device server.

A device server represents a network device that converts data obtainedfrom a legacy device into a proper protocol format for transmission overa network. Example cellular device servers include the Digi® Connect™,Lantronix® PremierWave®, or Moxa® OnCell™. Additionally, remote device120 associated with healthcare provider 122 could comprise be a smartphone. From a healthcare provider perspective, remote device 120 couldinclude, by way of examples and not as limitations, a point of salesterminal, a kiosk, a vehicle, a tablet, or other point-of-care device.It should be appreciated that, although mobile device 110 and remotedevice 120 are illustrated as being differentiated types of devicesbased on their roles, the devices could be the same type of device.

Mobile account management server 150 comprises one or more computerservers configured or programmed to operate as a request broker withinthe mobile carrier environment. In some embodiments, mobile accountmanagement server 150 is provisioned with a clinical operating system(cOS™), through which mobile account management server 150 is able totake on the roles or responsibilities disclosed herein. A suitable cOSthat can be adapted for use with the disclosed technologies includesthose offered by Nant Health, LLC (see URLnanthealth.com/cos-clinical-operating-system/). Various aspects of a cOSare also describe in co-owned U.S. patent applications publications2010/0037067; 2011/031378; 2013/0054272; 2013/0144653; 2013/0166317;2013/0304512; and 2013/0304496, the disclosures of which areincorporated herein in their entireties. In such embodiments, mobileaccount management server 150 is configured or programmed to provideaccess to the cOS services or systems via one or more applicationprogram interfaces (APIs). The APIs can be published to cOS serviceconsumers (e.g., mobile device 110, remote device 120, medical devices,etc.) over cellular network interface 130, for example, in the form of aconsumable web services API.

EMR database 140 comprises one or more computing storage devicesconfigured or programmed to store EMRs 147A through EMRs 147N,collectively referred to as EMRs 147. EMRs 147 are indexed at leastaccording to corresponding mobile user accounts 145A through 145N,collectively referred to as mobile user accounts 145. In an exampleembodiment, mobile user account 145A might correspond to patient 112while mobile user account 145N might correspond to healthcare provider122. Although EMRs 147 are indexed at least by mobile user accounts 145,EMRs 147 could also be indexed by other attributes, such as, by way ofexamples and not as limitations, demographic attributes, locationattributes, conditions attributes, goods or services attributes, ailmentattributes, prescription attributes, lab study attributes, genomicattributes, or other attributes. In some embodiments, EMRs 147 can alsoinclude electronic health records (EHRs), and vice versa.

EMR database 140 could also comprise a cOS service through which it isable to provide access to EMRs 147. Similar to mobile account managementserver 150, EMR database 140 can also offer its services as an API toother devices over a network (e.g., cellular network 115). For example,EMR database 140 could include a HTTP server front-end that brokers webservices APIs through which queries can be submitted. In someembodiments, the query comprises a mobile user account identifier (e.g.,phone number, social security number, universal health identifier, anAADHAAR number, etc.) along with one or more contextual attributespackaged as an XML, JSON, or YAML data stream submitted to the HTTPserver. EMR database 140 can also be implemented based on a relationaldatabase (e.g., MySQL, etc.) or even a graph database (e.g., Neo4J,etc.) in embodiments where relationship information is important (e.g.,social relationships, stakeholder relationships, medical conditionrelationships, etc.) and are used to index EMRs 147.

EMR database 140 and mobile account management server 150 may existwithin a cOS environment as discussed above. In such embodiments, thestakeholders would still benefit from securing their EMRs 147. Thus, EMRdatabase 140 can be further secured to store EMRs 147 according to oneor more secured formats. The secured formats can include quite a broadspectrum of possible data storage formats. In some embodiments, theformat can adhere to one or more cryptographic standards where EMRs 147are collectively or individually encrypted based on one or more keys.For example, EMRs 147 could be encrypted individually within anon-encrypted file system according to AES, or other secure function,according to patient 112's public or private key, which can depend onthe stakeholder's corresponding mobile user account 145. Further, EMRs147 could also be stored within a secured file system where the filesystem structure itself is secured, for example according to FSFS (seeURL fsfs.sourceforge.net) or other secured file system.

In other or additional embodiments, EMR database 140 and mobile accountmanagement server 150 can also be elements that exist within ahomomorphic encryption space where data exchanges or data storage adhereto a homomorphic encryption format. Thus, a stakeholder's key canprovide access to personalized homomorphic encryption space in whichEMRs 147 are stored or processed. This approach can facilitate acommoditized healthcare market because each stakeholder couldessentially have a private healthcare EMR cloud existing within themobile carrier's infrastructure. Even though the mobile carrier'sinfrastructure hosts the personalized EMR cloud, the mobile carrieritself does not necessarily have access to the unencrypted EMRs 147while also being able to process EMRs 147 in a meaningful fashion“outside” the stakeholder's homomorphic encryption space.

EMRs 147 can include a wide variety of data records, which can vary fromstakeholder to stakeholder. From the perspective of patient 112 havingcorresponding EMRs 147A, EMRs 147A could include numerous healthrecords, for example, covering the entire life span of patient 112. Thehealth records could include lab results, pharmacy receipts, compliancedata, prescription records, birth certificates, family registers,biometric data (e.g., historical, real-time, trends, etc.), genomeinformation, transaction histories, personal alerts or notificationtriggers, or other types of records. In a retail healthcare market suchhealth records might also include images or other digitalrepresentations of paper-based records. For example, the records couldinclude images of receipts or lab reports where patient 112 captures animage of a paper lab report provided by healthcare provider 122. Still,EMRs 147 could adhere to standards for managing EMRs/EHRs; ISO18308:2011 or IEEE 11073 for interfacing records to medical devices forexample.

With respect to the stakeholder being healthcare provider 122 and EMRs147N being associated with healthcare provider 122, EMRs 147N could bevastly different from those associated with patient 112. Further,healthcare provider 122 could also represent one or more types ofhealthcare entity: a hospital, a technician, a lab, a nurse, a caregiver, a doctor, a specialist, a researcher, or a surgeon just to name afew, which can heavily impact the nature of EMRs 147N. EMRs 147N couldinclude many different types of healthcare provider records, includingbusiness accounts, process records, procedure records, workflowdocuments, transaction histories, employee healthcare records, employerhealthcare records, tax records, certifications, compliance records, orother types of records associated with healthcare provider 122.

Although the examples described herein disclose the transaction betweenpatient 112 and healthcare provider 122 via their corresponding devices,it should be appreciated that data record custodian system 100 brokersaccess or management to any type of healthcare stakeholders having amobile account with the mobile carrier or with a different mobilecarrier having similar capabilities. Thus, a mobile carrier can beconsidered as the data record custodian and broker.

Patient 112 submits EMR request 152 to mobile account management server150 via mobile device 110. EMR request 152 can include a request for anEMR. However, it should be appreciated that EMR request 152 isconsidered to be an electronic request involving or associated with oneor more EMRs 147A. In this example, EMR request 152 could be considereda request from patient 112 to send EMRs 147A to healthcare provider 122.

Mobile account management server 150 is configured or programmed toreceive EMR request 152 over cellular network interface 130. Forexample, patient 112 might be at home being attended by healthcareprovider 122 taking a blood sample. Patient 112 may use a smart phoneoperating as mobile device 110 to connect with mobile account managementserver 150, for example, via a cOS web service interface using HTTP(e.g., XML, JSON, YAML, SOAP, WSDL, etc.) or other cOS protocol to whichEMR request 152 adheres. Patient 112 can, via a patient interface (notshown), select one or more of EMRs 147A related to their blood type andsend the record to healthcare provider 122.

Just as healthcare provider 122 or patient 112 can represent a widevariety of stakeholders within the ecosystem, EMR request 152 can alsotake on many different forms depending on its nature. Within the cOSenvironment, example requests might focus on one or more cOS services.Example cOS service requests could include a monitor service request, analert request, a workflow request, a business service request, a routingservices request, a validation request, a discovery service request, aconsent services request, an event services request, or other type ofcOS service request. In various embodiments, EMR request 152 can take ona broad spectrum of features including requests including contextattributes, attributes for goods, attributes for services, recordqueries, financial or other transactions information, or other types offeatures. Mobile account management server 150 attempts to service EMRrequest 152 by constructing a query targeting EMR database 140 as afunction of the features of the request including one or more mobileuser accounts.

EMR request 152 could also represent a healthcare services transactionwhere patient 112 interacts with healthcare provider 122 with respect toone or more healthcare services. In such cases, EMR request 152 canrelate to one or more of a request for a service, a location of aservice, a cost of a service, a service authorization, a serviceauthentication, a healthcare provider request, a claim adjudication incases where insurance is involved, or other type of service. As a morespecific example we return to the example of healthcare provider 122drawing blood from patient 112, and patient 112 requires a blood testunder orders from a local doctor. Patient 112 constructs EMR request 152to request that a technician come to the home of patient 112. EMRrequest 152 might include selections of relevant EMRs 147A, the locationof their home, or other contextual information. Mobile accountmanagement server 150 can then broker the request to identify whichhealthcare provider 122 is proximal to patient 112 and would beavailable or able to service the request for the blood test. Beyondhealthcare services, EMR request 152 can also relate to healthcare goodstransactions involving one or more healthcare goods. Exampletransactions associated with goods could include a healthcare productpurchase, a prescription, a product lease, or other type of transactionrelated to a healthcare good. In such cases, EMRs 147 might comprisereceipts for such transactions or a record of use.

Yet another type of EMR request 152 could include a record transactionthat interacts with EMRs 147 as data objects. The record transactionsallow various stakeholders to directly manage or analyze EMRs 147.Example records transactions could include a record write transaction, arecord read transaction, a record create transaction, a record deletetransaction, a record modify transaction, or other record manipulation.The record transactions also allow remote applications or apps tointeract with EMRs 147 assuming proper authentication or authorizationis provided by the record owner. To continue the previous example ofhealthcare provider 122 drawing blood, after the sample is taken,patient 112 could use a camera on their mobile device 110 to capture animage of the blood collection tube and associated codes (e.g., bar code,alpha-numerics, etc.). In view that the blood sample is a new healthcaretransaction, mobile device 110 can submit a record create transactionrequest within EMR request 152 to create a new EMR 147A for patient 112.

Once mobile account management server 150 obtains EMR request 152, itcan begin processing the request. Mobile account management server 150is further configured or programmed to continuing processing the requestby querying EMR database 140 for a results set of EMRs 147 satisfying aquery. Further, the query can be constructed as a function of the one ormore mobile user accounts 145 (e.g., account number, phone number,device ID, GUID, UUID, key, token, etc.). In some embodiments, mobileaccount management server 150 queries EMR database 140 throughsubmitting the query to EMR database 140, for example, via an API, webservice, or through an internal cOS message passing scheme. Query 154can be instantiated from information with EMR request 152 beyondinformation related to one or more of mobile user accounts 145. Forexample, EMR request 152 could include healthcare context data thatrepresents metadata that describes the nature or circumstances underwhich a current healthcare event is taking place. The healthcare contextdata could comprise a contextual representation of one or more entitiesinvolved within the healthcare event. Depending on the specificscenario, the context data might indicate a specific context associatedwith mobile device 110, remote device 120, one or more stakeholders,healthcare provider 122, patient 112, a healthcare service, a healthcareproduct, a location of the event, or other entities. Mobile accountmanagement server 150 can compile the context data into query 154 inpreparation for submission to EMR database 140. The query can bepackaged based on the nature of EMR database 140 and might include anSQL query, a serialized data stream to a web service API, or a directcall to a cOS API.

In response to query 154, EMR database 140 returns results set 156,which can include zero or more EMRs 147 that satisfy query 154.Returning to the blood sample example, results set 156 might includeblood type information or previous blood test results. In someembodiments, results set 156 might include information relating tohealthcare provider 122; a digital certificate indicating thathealthcare provider 122 is certified for drawing blood for example.

Mobile account management server 150 is further configured or programmedto generate EMR response 158 as a function of results set 156. EMRresponse 158 can be just as varied as EMR request 152 and depends on thenature of the current healthcare event or transaction. In the exampleshown, EMR response 158 might include an encrypted blood type report.Once healthcare provider 122 is properly authorized by patient 112 ormobile account management server 150, the report can be decrypted andprovided to remote device 120 for consumption by healthcare provider122. Further, mobile account management server 150 can be furtherconfigured to generate EMR response 158 as a function of the healthcarecontext data present in EMR request 152. For example, EMR response 158can be tailored based on one or more of the following healthcare contextattributes: an absolute location (e.g., GPS coordinate, triangulation,RSSI, etc.), a relative location (e.g., distance between patient 112 andhealthcare provider 122, etc.), a time, sending device attributes,receiving device attributes, a patient identifier, a healthcare provideridentifier, a weather condition, a traffic condition, an urgency, apriority, a certification requirement, a relationship requirement (e.g.,known person, family member, etc.), or other attributes.

Mobile account management server 150 is also configured or programmed totransmit EMR response 158 to remote device 120 via cellular network 115.EMR response 158 can be packaged in numerous ways for the transmission.In some embodiments, EMR response 158 can be encrypted, for examplebased on a public key of healthcare provider 122. Once EMR response 158is resident in memory of remote device 120, a private key of healthcareprovider 122 can be used to decrypt EMR response 158. EMR response 158could comprise a stream of data that is sent to a secured healthcaredata player (e.g., a secure container, a virtual machine, etc.) wherethe player presents the data within EMR response 158 to healthcareprovider 122. Depending on the circumstances of the correspondinghealthcare transaction taking place, EMR response 158 could be packagedto accommodate the specific transaction, thereby adhering tocorresponding transaction protocols (e.g., HTTP, FTP, HL7, etc.). Withrespect to the example of healthcare provider 122 taking a blood sample,EMR response 158 might include a JPEG image of a paper copy of acertified or notarized blood test report indicating the blood type ofpatient 112.

EMR response 158 can be quite complex and represent a synthesis ofinformation derived from EMRs 147. In some embodiments, data recordcustodian system 100 can also include one or more analytics engines (notshown) that processes data from EMRs 147 to generate a resulting report(e.g., graphs, charts, spreadsheet, etc.). Although patient 112 may beprovided with minimal analytics information, healthcare provider 122 maybe provided with extensive analytics information. In such cases theanalytics engine can be configured or programmed to compile analyticsfrom results set 156 and incorporate the resulting analytics into EMRresponse 158. From the perspective of patient 112, the analytics mightbe a simple trend of blood pressure or cholesterol level for example.From the perspective of healthcare provider 122, for example operatingas a researcher, the analytics might include a comprehensive analysiswithin a longitudinal study across large populations of patients;assuming the researcher has been granted access to EMRs 147 of thepatients.

The disclosed approach of having a mobile carrier operating as datarecord custodian system 100 gives rise to numerous capabilities oradvantages within a retail or commoditized healthcare market. Consideran example relating to making payments for healthcare transactions. Inthe retail market, no intermediary healthcare payment services (e.g.,insurance, clearing houses, etc.) are required. Rather, mobile accountmanagement server 150 is able to handle all payment services. Forexample patient 112 is traveling away from home and does not have accessto a preferred physician located nearby patient 112's home. Patient 112can submit a request for a local physician with specific skills (i.e.,context data) via mobile device 110 to mobile account management server150. In response, patient 112 could receive a listing, ranked in someembodiments, of physicians (i.e., healthcare provider 122) that arelocal to patient 112. Further, the physician could receive patient 112'srelevant EMRs once authorization has been granted in order to preparefor an appointment. After the physician has rendered services, thephysician can submit a bill through mobile account management server 150to mobile device 110 of patient 112.

In some embodiments, patient 112 can authorize payment in real-time,after which mobile account management server 150 initiates a transactionbetween the two accounts of healthcare provider 122 and patient 112.Patient 112 can receive the monthly mobile carrier bill, which includesan indication that payment has been made. Patient 112 pays the billnormally as they would any mobile phone bill. In such cases, EMR request152 can be considered a payment authorization request associated themobile user accounts 145 or even an actual payment to one or more mobileuser accounts 145. In some embodiments, the mobile carrier can host afunded account or pre-paid for patient 112, which allows the mobilecarrier to exchange funds without operating as a bank. Such embodimentsinclude production or management of pre-paid healthcare service cardsthat can be used a points of treatment. A consumer could simply purchasea pre-paid healthcare card, say at a local pharmacy, and activate thecard. The card can then be used to initialize a healthcare paymenttransaction, finalize a transaction, or fund a payment account with themobile carrier.

Another advantage of the disclosed techniques is that each stakeholderin the ecosystem retains full control and access to corresponding EMRs.The mobile carrier, possibly through a cOS system, could operate in anactive mode that is fully aware of the healthcare transactions or couldoperate as a passive custodian without awareness of the underlyinghealthcare data. For example in a passive mode of operating, if themobile carrier provides a homomorphic encryption environment, the mobilecarrier merely brokers requests with the environment without actualaccess or knowledge of the data where the actual data remains securedfrom the mobile carrier's view. This approach ensures that eachstakeholder's data remains secure as well as private. Each mobile devicein the ecosystem can also be provisioned to operate as a cOS agent viaan app. The cOS agent can configure the mobile device to operateessentially as an I/O device, possibly as a sensor platform, for thebroader cOS system. Thus, the agent enables the mobile device to capturedata, sense biometric data, sense context data, display data, requestdata, process data, or otherwise interact with EMRs as needed.

Embodiments of system 100 allow each stakeholder to have separatepersonal, secured healthcare cloud hosted by the mobile carrier. Asstakeholders interact with each other through the mobile carrier, datafrom respective EMRs can be transferred from one mobile user account toanother without exiting the environment and while maintaining integrityof each stakeholder's cloud. In cases where one or more stakeholdersexist outside the ecosystem, the mobile account management server can beprovisioned with one or more agents capable of converting or translatingtransaction requests or responses to an appropriate format.

The EMRs can be stored in many data formats in support of the retailnature of the market where EMR data is collected in an unsupervisedmanner. Therefore, EMRs can be stored as actual electronic documents(e.g., PDFs, etc.), still images, videos, audio data, or other datamodalities. The EMR database or mobile account management server couldalso be provisioned with one or more recognition engines that converteach type of EMR data modality to an internal, normalized format ifdesired. For example, images of receipts could be processed by animplementation of an optical character recognition (OCR) algorithm toconvert the image to text. Audio data could be transcribed throughexecution of one or more implementations of automatic speech recognition(ASR) algorithms. Still further, images or videos could be analyzed byimplementations of object recognition algorithms to identify people,objects, diseases, or other features found within the images.

The disclosed ecosystem also supports machine-to-machine (M2M)communications as brokered by the mobile account management server. Oneor more medical devices, for example located in remote or rurallocations, can be configured or outfitted with a cellular radio or modemto comprise remote device 120. As data is received from remote device120, the data can be collected by the mobile carrier and inserted intoone or more EMRs of corresponding mobile user accounts. For example,remote patient 112 might require active monitoring. Patient 112's cellphone, comprising mobile device 110, might connect via Bluetooth topatient 112's medical monitoring equipment. The collected data is sentto the mobile carrier, which creates corresponding EMRs. Further thecollected data could also be sent to patient 112's physician's EMRrepository. Rather than using a cell phone as a hub, it is also possiblefor the medical devices to comprise mobile device 110 and to directlyconnect with mobile account management server 150, for example whereeach medical device has its own account and where the device accountcould be linked to patient 112.

It is also possible that stakeholders might exist on separate mobilecarrier platforms. For example, in India patient 112 might use IdeaCellular as the mobile carrier while a healthcare provider might useBharti Airtel™ or Vodafone®. In a heterogeneous environment, it ispossible for each mobile carrier to operate as individual custodians,for example where each mobile carrier is in fact a cOS entity. In suchcases, each entity would likely adhere to the cOS service standards orprotocols thereby allowing the mobile carriers to broker data exchangesamong each other. Data exchanges can occur once suitable authorizationsor authentications are established or as necessitated by variousfactors; a life or death emergency for example. If one of the mobilecarriers is not operating as a custodian, then the mobile carrier thatdoes operate as a custodian can receive communications from otherentities via traditional mobile communication systems (e.g., SMS, MMS,email, web services, etc.) and archive the communications into theappropriate mobile user account's EMRs.

Although the disclosed approach assumes a retail or commoditizedhealthcare market where regulatory overhead is less present, regulationsor standards still can have a beneficial impact on the ecosystem. Eachmobile carrier operating as a data custodian can still adopt known oryet to be created standards to provide trusted services. For example, amobile carrier in an undeveloped area could adopt one or more featuresof the Health Insurance Portability and Accountability Act of 1996(HIPAA) or even Patient Safety and Quality Improvement Act of 2005(PSQIA) as established in the United States. Such standards orregulations might not apply in jurisdictions outside the United States.However, the features in such standards or regulations still might offervaluable market differentiators for mobile carriers due to at least somelevel of compliance with externally established standards.

Each jurisdiction could have widely different standards or regulations.The disclosed approach seeks to enable mobile carriers to become medicalor healthcare custodians, especially when existing medical or healthcaredata infrastructure is lagging deployment of mobile infrastructure,while still adhering to relevant requirements. In India for example,mobile carriers could store mobile user's EMRs based on the user'sunique health identifier (UHID) or AADHAR number and while alsofulfilling the role of a mobile services delivery gateway for governmentservice. Further, the mobile carriers can integrate cOS service modulesthat configure the mobile carriers to conform to the various desiredstandards or protocols (e.g., HL7, CCD, openEHR, IHE, DICOM, etc.).

Yet another interesting aspect of allowing mobile carriers to operate asa healthcare data custodian includes contextually pre-caching EMR datain mobile remote device 120 (e.g., mobile phone). From the perspectiveof a healthcare provider, healthcare provider's remote device 120 canpre-cache patient 112's records, for example in a secure container(e.g., a virtual machine, etc.) in preparation of a healthcaretransaction with patient 112 under the assumption that the healthcareprovider has been authorized to request such data or to be provisionedwith such data. Consider a scenario where patient 112 requires urgentcare, but has restricted movement due to weather or traffic conditions.Mobile account management server 150 receives the request from patient112 and identifies one or more appropriate healthcare providers 122within walking distant of patient 112. In response, healthcare provider112 accepts the request for services from relevant patient EMRs.Further, patient 112 (or the patient's caretaker) can receive healthcareprovider 122's identification (e.g., photograph, license information,history, ETA, etc.) in preparation for the corresponding appointment. Inembodiments, where the EMR data has been provisioned on the healthcareprovider's cell phone and within a secured container, the container canbe unlocked when the patient's phone is proximal to the healthcareprovider's phone (e.g., within 30 meters, within 20 meters, etc.) basedon location information (e.g., GPS, wireless triangulations, etc.). Thisexample illustrates using context data of location, traffic, and/orweather to pre-cache EMR data. Mobile carriers are uniquely able toprovide such context-base services because they are able to directlycapture mobile device context data as well as broadcast requests toparticipants in the network.

Context-based caching of EMR data can take on many different forms. Insome embodiments, geo-fence boundaries can be established where EMRrequest management is permitted. Pre-caching can aid in reducing latencybetween a time of an appointment and a time of rendering a servicebecause healthcare provider 122's remote device 120 can be a prioriprovisioned with necessary data before services are rendered to patient112.

When remote device 120 enters the geo-fenced area, remote device 120 canbe configured to download (or upload) relevant EMR data to be archivedby the mobile carrier. The data can be exchanged with the mobile carriervia the cellular network or through high speed connections (e.g.,Ethernet, WiFi, etc.) where available. Geo-fenced areas might includehealthcare provider 122's facilities (e.g., hospitals, urgent care,pharmacies, etc.), patient 112's home, a neighborhood, a city, a postalcode, a building or floor in a building, or other boundary definition.The boundaries could also depend on context data beyond location. Timecan also be used as a contextual boundary where healthcare provider 122is restricted to have access to patient 112's EMRs only for a limitedtime surrounding the appointment with patient 112.

Mobile account management server 150 can provide an interactive portablebetween or among stakeholders. Patient 112 could request a set ofservices, which are in turn forwarded to contextually relevanthealthcare providers 122. Healthcare providers 122 can respond withtheir qualifications and estimated costs. Patient 112 can select frommultiple healthcare providers 122 who have responded. Interestingly,both patient 112 and healthcare provider 122 could access the samerelevant EMR data, but interact with the EMR data in substantiallydifferent ways. For example, mobile account management server 150 canpresent a list of relevant EMRs that may be forwarded to healthcareproviders 122 upon patient 112's request. The listing of EMRs caninclude a description in layman's terms of the relevance of thedocuments. When selected healthcare provider 122 receives the documents,the data or documents can be translated into a technical description.Thus, the mobile carrier operates as a translation service to presentthe EMR data in a manner that is conducive to each stakeholder's needs.

Embodiments of system 100 can facilitate a healthcare market thatoperates according to different regulations, standards, or otherrequirements. In less regulated markets, healthcare goods or servicescan become heavily commoditized, or even treated as retail goods orservices, thereby reducing efficacy of multi-party data managementsystems. Further, patient 112 can assume a more intimate role inmanaging patient 112's own healthcare data. Embodiments of system 100can provide patient 112 with additional tools for storing, accessing,managing, or otherwise interacting with patient 112's own healthcaredata. In various embodiments, patient 112's mobile device 110 canoperate as a personal portal to healthcare data where the mobile carriercan further operate as an active or passive data custodian through whichpatient 112's EMR can be stored or accessed.

A mobile carrier-centric data record custodian system 100 is presented,which comprises plurality of cellular network interfaces 130 configuredto transmit and receive wireless communication over cellular network115, an EMR database 140 configured to store a plurality EMRs 147indexed appropriately, for example, according to mobile user accounts145, and mobile account management server 150 coupled with cellularnetwork interfaces 130 and EMR database 140. Mobile account managementserver 150 receives EMR request 152 associated with at least one mobileuser account 145A over cellular network 15, queries EMR database 140 forresults set 156 having EMRs 147 satisfying the query and as a functionof mobile user account 145A, generates a plurality of EMR responses 158to EMR request 152 as a function of results set 156 and stateinformation associated with mobile device 110 (and/or remote device120), cellular network 115, and mobile user account 145A, and transmitsplurality of EMR responses 158 over cellular network interfaces 130 tomobile device 110 (and/or remote device 120) via cellular network 115,each one of EMR responses 158 being formatted for a specific wirelessprotocol corresponding to a respective cellular network interface 130over which it is transmitted.

Each cellular network interface 130 couples with one or more of variouswireless networks, including GSM, EDGE, HSPA, HSPA+, TD-LTE, CDMA, UMTS,WiMAX, EVDO, and WiFi, with different cellular network interfaces 130coupling with correspondingly different wireless networks. Examples ofmobile device 110 and remote device 120 include a smart phone, avehicle, a robot, a tablet, a medical device, a sensor, a device server,a point of sales terminal, a kiosk, a vehicle, and a tablet. Note thatin some embodiments, EMR database 140 may be coupled with plurality ofcellular network interfaces 130.

In some embodiments, EMR database 140 includes a clinical operatingsystem (cOS) service. In some embodiments, mobile account managementserver 150 itself includes a clinical operating system. In suchembodiments, EMR request 152 adheres to a protocol of the clinicaloperating system. For example, EMR request 152 can include one or moreof a monitoring service request, an alert request, a workflow request, abusiness service request, a routing services request, a validationrequest, a discovery service request, a consent services request, and anevent services request. Mobile account management server 150 may befurther configured to provide access to the clinical operating systemvia an application program interface (API). The API may be published viaat least one of plurality of cellular network interfaces 130. In someembodiments, the API may include a web service API.

In some embodiments, EMR request 152 may include a healthcare servicestransaction, for example, a request for a service, a location of aservice, a cost of a service, a service authorization, a serviceauthentication, a healthcare provider request, and a serviceadjudication. In some embodiments, EMR request 152 may include ahealthcare goods transaction, for example, a healthcare productpurchase, a prescription, and a healthcare product lease. In someembodiments, EMR request 152 may include a records transaction, forexample, a record write transaction, a record read transaction, a recordcreate transaction, a record delete transaction, and a record modifytransaction.

In some embodiments, EMR request 152 may include healthcare contextdata, for example, including a contextual representation of mobiledevice 110 (and/or remote device 120), patient 112, healthcare provider122, a service (e.g., diagnosis), a product (e.g., medication), alocation (e.g., physician's office), or an event (e.g., hospitaladmission). In such embodiments, mobile account management server 150may be configured to generate plurality of EMR responses 158 as afunction of the healthcare context data. Examples of healthcare contextdata includes an absolute location of mobile device 110 (and/or remotedevice 120), a relative location of mobile device 110 (and/or remotedevice 120), a time of EMR request 152 (e.g., time of receipt at mobileaccount management server 150), a patient identifier, a healthcareprovider identifier, a weather condition at a location of mobile device110 (and/or remote device 120), a traffic condition around a location ofmobile device 110 (and/or remote device 120), an urgency, a priority, acertification requirement, a relationship requirement, etc.

In some embodiments, EMRs 147 include patient records. In otherembodiments, EMRs 147 include healthcare provider records. In yet otherembodiments, EMRs 147 include employer healthcare records. In yet otherembodiments, EMRs 147 include employee healthcare records. In someembodiments, at least one of EMR responses 158 includes a paymentauthorization request associated with mobile user account 145A. In otherembodiments, at least one of EMR responses 158 can include a payment toan account associated with mobile device EMRs 110 (and/or remote device120).

In some embodiments, EMR database 140 may be configured to store theplurality of EMRs 147 according to a secured format, for example, thatadheres to a cryptographic standard and depends on settings of mobileuser account 145A. The secured format may also, or alternatively, adhereto a secure function that depends on a patient's authentication key. Insome embodiments, the secured format may include a homomorphicencryption format. In some embodiments, an analytics engine may becoupled with mobile account management server 150, for example, tocompile analytics based on results set 156 and in such cases, pluralityof EMR responses 158 may include the analytics.

Turning to the infrastructure of system 100, the network topology of thenetworks used therein, including cellular network 115 can include anynumber of servers, routers, gateways, base stations, and other nodesinter-connected to form a large and complex network. A node may be anyelectronic device, client, server, peer, service, application, or otherobject capable of sending, receiving, or forwarding information overcommunications channels in a network. Elements of FIG. 1 may be coupledto one another through one or more interfaces employing any suitableconnection (wired or wireless), which provides a viable pathway forelectronic communications. Additionally, any one or more of theseelements may be combined or removed from the architecture based onparticular configuration needs.

System 100 may include a configuration capable of Transmission ControlProtocol/Internet Protocol (TCP/IP) communications for the electronictransmission or reception of data packets in a network. Healthcaremonitoring system 100 may also operate in conjunction with a UserDatagram Protocol/Internet Protocol (UDP/IP) or any other suitableprotocol, where appropriate and based on particular needs. In addition,gateways, routers, switches, and any other suitable nodes (physical orvirtual) may be used to facilitate electronic communication betweenvarious nodes in the network.

Note that the numerical and letter designations assigned to the elementsof FIG. 1 do not connote any type of hierarchy; the designations arearbitrary and have been used for purposes of teaching only. Suchdesignations should not be construed in any way to limit theircapabilities, functionalities, or applications in the potentialenvironments that may benefit from the features of system 100. It shouldbe understood that system 100 shown in FIG. 1 is simplified for ease ofillustration.

The example network environment may be configured over a physicalinfrastructure that may include one or more networks and, further, maybe configured in any form including, but not limited to, local areanetworks (LANs), wireless local area networks (WLANs), virtual localarea networks (VLANs), metropolitan area networks (MANs), wide areanetworks (WANs), virtual private networks (VPNs), Intranet, Extranet,any other appropriate architecture or system, or any combination thereofthat facilitates communications in a network.

In some embodiments, a communication link may represent any electroniclink supporting a LAN environment such as, for example, cable, Ethernet,wireless technologies (e.g., IEEE 802.11x), ATM, fiber optics, etc. orany suitable combination thereof. In other embodiments, communicationlinks may represent a remote connection through any appropriate medium(e.g., digital subscriber lines (DSL), telephone lines, T1 lines, T3lines, wireless, satellite, fiber optics, cable, Ethernet, etc. or anycombination thereof) and/or through any additional networks such as awide area networks (e.g., the Internet).

In various embodiments, mobile account management server 150 can includecomputer executable instructions stored on one or more non-transitorycomputer-readable media (e.g. hard drives, optical storage media, flashdrives, ROM, RAM, etc.) that, when executed by one or more processors,cause the processors to execute the functions and processes describedherein. In some embodiments, some functionalities of mobile accountmanagement server 150 may be implemented in a distributed mannerthroughout various networks.

Turning to FIG. 2, FIG. 2 is a simplified block diagram illustrating asystem 200 for facilitating mobile carrier centric data custodians.Mobile device 110 may send EMR request 152 to cellular network 115(e.g., using a specific destination phone number, SMS number, InternetProtocol (IP) address, or other identifier). EMR request 152 may includea request to access, extract, change, or add data to a specificpatient's EMR. In some embodiments, EMR request 152 may includeauthentication information; in other embodiments, EMR request 152 may beself-authenticated (e.g., any request from particular mobile device 110associated with specific mobile user may be automatically authenticatedto access data of patient 112). Cellular network 115 may direct EMRrequest 152 to mobile account management server 150. In variousembodiments, components of cellular network 115, including basestations, routers, mobility management entities, gateways, etc., may beconfigured to identify EMR request 152 and direct it to mobile accountmanagement server 150 appropriately.

In some embodiments, mobile account management server 150 may include aprocessor 202 and a memory element 204. Mobile account management server150 may be further configured with cOS 206, a data filter 208, a dataseparator 210, a data summarizer 212, a security module 214, atranslator 216, a cellular network database 218, and a plurality ofcellular network interfaces 130(1)-130(N). In various embodiments, cOS206 may include a suitable operating system (or platform, or otherappropriate software) that can federate various disparate data (e.g.,from health providers, patients, sensors, other medical devices, etc.),aggregate the data in disparate formats to a uniform format (e.g., XMLbased format), and store the uniformly formatted data in a suitable datastore (e.g., federated centralized database; data store for aggregateddata) such as EMR database 140. cOS 206 may comprise a plurality ofself-contained interconnected modules and service layers for connectingproprietary (and public) systems together and extracting and translatingdata therefrom to enable them to cooperate in a software ecosystem whileallowing flexible connections with both existing and new applications.cOS 206 may offer a secure communication tunnel for mobile accountmanagement server 150 to interface with mobile device 110.

In various embodiments, cOS 206 may include a plurality of applicationservices and a services module. The application services may beconfigured or programmed to provide authoritative information (e.g.,patient identifier, health provider identifier, etc.), includingdemographic information associated with a cOS context, and associatedwith their respective services. In some embodiments, data filter 208,data separator 210, data summarizer 212, and translator 216 may comprisea part of the application services. The services module may beconfigured with an application services layer configured to handlesecurity of the plurality of application services via security module214.

Security module 214 may encrypt messages provided by the applicationservices based on a public key infrastructure standard in someembodiments. In some embodiments, the messages can include informationobtained from EMR request 152. For example, EMR request 152 may befiltered by data filter 208 to parse and extract information relevant toEMRs stored in EMR database 140; the extracted information may beformatted into a secure message that may be transmitted to EMR database140; the relevant information may be accessed from EMR database 140 andtransmitted securely, by security module 214 to data separator 210.

In various embodiments, cOS 206 may convert EMR request 152 into amarkup language message via a message adapter within the servicesmodule. In some embodiments, translator 216 may comprise the messageadapter. cOS 206 may provide (e.g., via a consent services layer),access to a portion of the requested EMR data according to role-basedprivacy constraints based on the markup language message, and return aresponse message, via the message adapter, relating to the requestedportion of patient 112's EMR data. The role-based privacy constraintsmay comprise HIPAA mandated constraints, and may be determined from adeep packet inspection of the message, for example, by the messageadapter, or security module 214. In some embodiments, cOS 206 maycomprise a clinical file system (CFS) in which data is stored in aparticular CFS format. For example, EMR database 140 may store EMRs inthe CFS according to the CFS format. For example, prior to storing EMRdata in EMR database 140, the EMR data may be normalized according tothe CFS format.

In various embodiments, cellular network database 218 may includeinformation related to the state of cellular network 115, includingnetwork elements and their configuration in cellular network 115,network routes that are congested, base stations that are off the air,shortest paths to mobile device 110, bandwidth characteristics ofcellular network 115, radio resources provisioned for communication withvarious subscribers, including mobile device 110, service levelagreements with mobile user accounts specifying quality of service (QoS)requirements to corresponding communication sessions of the mobileaccount holders, etc. Cellular network database 218 may also includedevice information of subscriber devices, including deviceconfiguration, capabilities, etc. State information in cellular networkdatabase 218 may be dynamic, being updated frequently (e.g., inreal-time, when conditions change, etc.), based on particularconfiguration settings.

In various embodiments, cellular network interfaces 130(1)-130(N) maypresent physical or logical interfaces to transmit and receive data atmobile account management server 150. Each cellular network interface130(1)-130(N) may be controlled by corresponding wireless networkinterface controllers (e.g., IEEE 802.11 adapters, network interfacecards, etc.) and device drivers in mobility account management server150. For example, cellular network interface 130(1) may exclusivelyreceive and send short message service (SMS) text messages or small dataover cellular network 115; cellular network interface 130(2) mayexclusively receive and send audio messages over cellular network 115;cellular network interface 130(N) may exclusively receive and send largesized data over cellular network 115. In another example, cellularnetwork interface 130(1) may preferably receive and send SMS textmessages or small data over cellular network 115 and may also receiveand send other types of messages. Any specific communication thatincludes a mix of several types of messages, for example, audio anddata, may be sent over more than one cellular network interface130(1)-130(N) in some embodiments. N can comprise any suitable integerappropriate to the number of network interfaces for mobile accountmanagement server 150. In some embodiments, each of cellular networkinterfaces 130(1)-130(N) may connect to different network segments incellular network 115. For example, cellular network interface 130(1) mayreceive and send SMS text messages over a network route in cellularnetwork 115 that is optimized for SMS text messages; cellular networkinterface 130(2) may receive and send audio messages over anothernetwork route in cellular network 115 that is optimized for audiomessages A determination of which cellular network interface130(1)-130(N) is to be used to send any message from mobile accountmanagement server 150 may be based on state information stored incellular network database 218.

During operation, mobile account management server 150 may receive EMRrequest 152 from mobile device 110. Data filter 208 may filter outinformation relevant to EMRs stored in EMR database 140 and generate aquery to EMR database 140. A relevant query response may be retrievedfrom EMR database 140. Data separator 210 may query cellular networkdatabase 218, obtain relevant state information of cellular network 115,and separate the retrieved query response into different messagesaccording to different communication protocols based on the obtainedstate information.

For example, the retrieved query response may comprise a set of highdefinition X-ray images of different organs of patient 112 taken atdifferent times. The high definition X-ray images may include metadataidentifying the time when the X-ray image was taken, the specific organcorresponding to the X-ray image, and the prescribing physician. Dataseparator 210 may determine from the state information that cellularnetwork 115 is congested near mobile device 110; mobile user accountassociated with mobile device 110's is subscribed to an SLA that doesnot permit large volume data in one message; mobile device 110 is notcapable of accepting large sized messages; or mobile device 110 cannotinterpret messages in certain formats; etc. Data separator 210 mayseparate the retrieved query response into a plurality of messages, eachof which can be transmitted wirelessly over cellular network 115 withlow signal degradation, low packet loss, low latency, etc., and whichcan be received by mobile device 110 and interpreted in a manner usefulto the operator (e.g., patient 112, healthcare provider 122) associatedwith mobile device 110. For example, data separator 210 may separate theretrieved query responses into two messages: a first message comprisingan SMS text with the metadata; and a second (or multiple) e-mail messagewith an attachment comprising large volume data of the high-definitionX-ray images.

Data summarizer 212 may parse the messages and summarize relevantinformation based in deep packet inspection, contextual learning, andother heuristic mechanisms. For example, in the X-ray example, datasummarizer 212 may parse the first and second messages, summarize theinformation contained therein, and generate respective message headersindicative of a context of the message. The SMS text may include amessage header identifying that the SMS text is responsive to EMRrequest 152 and includes metadata of the X-ray images; the large volumedata may comprise the e-mail message identifying the attachmentsseparately with links in the body of the e-mail, or other relevant usertools to enable accessing and viewing the X-ray images.

In some embodiments, translator 216 may translate the messages into aformat recognizable by mobile device 110 and communicable over cellularnetwork 115. Security module 214 may further encrypt the messages andgenerate appropriate EMR response 158(1)-158(N). In some embodiments,the encryption may comprise a transaction to authenticate EMR request152, for example, based on finger printing or face recognition, to allowaccess to the requested EMR data; if the user's finger print isauthenticated, EMR response 158(1)-158(N) may be encrypted accordinglyand transmitted to mobile device 110. In another example, image-basedrecognition (e.g., face, iris, etc.) via mobile device 110 may be usedfor security and authentication to allow access to the requested EMRdata; if the user's image print is recognized, EMR response158(1)-158(N) may be encrypted accordingly and transmitted to mobiledevice 110. In yet another example, genomic recognition may be used forauthentication. Various other encryption and security measures may beimplemented within the broad scope of the embodiments.

Each EMR response 158(1)-158(N) may comprise a message in a particularwireless network protocol format compatible with one of cellular networkinterfaces 130(1)-130(N). Mobile account management server 150 maytransmit EMR response 158(1)-158(N) responsive to EMR request 152through corresponding cellular network interfaces 130(1)-130(N) tomobile device 110. In various embodiments, mobile account managementserver 150 may generate a plurality of EMR responses 158(1)-158(N) inresponse to EMR request 152 based on state information of cellularnetwork 115, including bandwidth conditions of cellular network 115,capabilities of mobile device 110, and service level agreements (SLAs)of mobile user accounts associated with mobile device 110, and transmitEMR responses 158(1)-158(N) through appropriate cellular networkinterfaces 130(1)-130(N). Thus, mobile account management server 150 mayfacilitate ensuring that requested EMRs 147 are delivered to mobiledevice 110 over cellular network 115 with minimal or no packet loss, lowsignal degradation and low latency, irrespective of the size ofrequested EMRs 147. Various operations as described herein executed atmobile account management server 150 may ensure an improvement inwireless technologies, for example, facilitating low-loss, low-latencytransmission of requested EMRs 147 over cellular network 115, andtransmission suited to the receiver's (e.g., mobile device 110)receiving capabilities and requested EMRs 147's characteristics.

Turning to FIG. 3, FIG. 3 is a simplified block diagram illustratingexample details of an application (‘app’) 220. App 220 may execute usinga processor 222 and a memory element 224 in mobile device 110. App 220may include a data integrator 226 and a display generator 228. EMRresponses 158(1)-158(N) may be received at mobile device 110. Dataintegrator 226 may integrate EMR responses 158(1)-158(N) into acomprehensible and single message. Display generator 228 may translatethe single message into a suitable display 230, which may includesounding an alert 232, displaying a text 234, and/or displaying an image236 (which can include a video, if appropriate). In some embodiments,EMR responses 158(1)-158(N) may include the application programminginterfaces (APIs) relevant to generating the single message and display230.

Turning to FIG. 4, FIG. 4 is a simplified block diagram illustratingexample details of generating EMR response 158 according to anembodiment of system 200. State information 240 stored in cellularnetwork database 218 may include, by way of examples and not aslimitations, mobile device capabilities 242, cellular networkcharacteristics 244, subscriber SLAs 246, etc. In some embodiments,mobile device capabilities 242 may include configuration settings ofvarious mobile devices that have accounts with the mobile carrieroperating mobile account management server 150. In other embodiments,mobile device capabilities 242 may be obtained from packet headerinformation of EMR request 152. In yet other embodiments, mobile devicecapabilities 242 may be obtained from network information gleaned fromnetwork elements (e.g., mobile management entity, enodeB, etc.) incellular network 115.

Note that the mobile carrier operating cellular network database 218 andmobile account management server 150 has unique insight into variousproprietary network state information, private mobile user accountsinformation, and various other information that are not generallyavailable to third party users. As such, such proprietary informationcan place the mobile carrier in a unique position as a data custodian tofacilitate low loss, low latency, enhanced wireless communication forhealth related data over cellular network 115.

Cellular network characteristics 244 can include, by way of examples andnot as limitations, bandwidth of various network routes between mobileaccount management server 150 and requesting mobile device 110; latencyof the various network routes; network element configurations of thenetwork elements on the various network routes; and any othercharacteristics of cellular network 115 that can affect messagecommunication between mobile account management server 150 and mobiledevice 110. Subscriber SLA 246 can include, by way of examples and notas limitations, the maximum latencies negotiated between the mobilecarrier and mobile user account associated with mobile device 110;quality of service considerations for packets communicated to and frommobile device 110; authentication settings for various types of EMR data(e.g., no authentication required where personal information is notincluded in the EMR response; authentication required irrespective ofEMR response content, etc.); etc.

In various embodiments, results set 156 is retrieved from EMR database140 in response to a query generated according to EMR request 152. Invarious embodiments, results set 156 may be encrypted, such that themobile carrier cannot read the contents therein. For example, EMRrequest 152 may request X-ray images of chest taken between January 2015and June 2015 for patient 112 having a specific patient identifier. EMRrequest 152 may be formatted according to suitable wireless protocols.The query generated accordingly comprises a search request for the X-rayimages of chest taken between January 2015 and June 2015 for the patientidentifier and formatted according to the CFS of EMR database 140.

The data retrieved from EMR database 140 in response to the querycomprises results set 156. In a general sense, results set 156 may havevarious characteristics. By way of examples, and not as limitations, thecharacteristics may include size 252 (e.g., in bytes), format 254 (e.g.,image, text, audio, etc.), divisibility 256 (e.g., amenability to bedivided into portions, each of which maintain its semantics); content258 (e.g., nature of information, such as X-ray image, prescription,physician identifier, blood pressure values, etc.), and meta-data 260(e.g., information describing data). In various embodiments, althoughthe nature of information may be available to the mobile carrier, thecontent information, such as the values of blood pressure, or thespecific X-ray image characteristics, may be encrypted and unavailableto the mobile carrier.

Data separator 210 may use the various characteristics of results set156 and state information 240 to determine division of results set 156into a plurality of EMR responses 158(1)-158(N). Any suitable algorithmmay be employed for the determination. For example, EMR responses158(1)-158(N) may be generated based on size 252 and format 254 ofresults set 156 in view of mobile device capabilities 242—if mobiledevice capabilities 242 indicate that only text messages can be viewedat mobile device 110, and size 252 and format 254 of results set 156indicate a large sized image, data separator 210 may divide results set156 into two EMR responses 158(1) and 158(2); EMR response 158(1) maycomprise an SMS message alerting mobile device 110 to check e-mails forthe image; and EMR response 158(2) may comprise an e-mail message with ahyperlink to a location on mobile account management server 150 wherethe large sized image may be stored for viewing by the user on a webbrowser.

Turning to FIG. 5, FIG. 5 is a simplified block diagram illustratingexample details of geolocation capabilities according to an embodimentof system 200. In various embodiments, mobile account management server150 may include a geolocation database 262, which comprises varioushealth related location information, for example, physician addresses,hospital addresses, pharmacy locations, nurse practitioner locations,police stations, etc. In various embodiments, location 264 of mobiledevice 110 may trigger a query of geolocation database 262, and varioushealth related location information relevant to location 264 may betransmitted to mobile device 110 by mobile account management server150.

Consider, for example, that mobile device 110 is located at a firstlocation 264(A) corresponding to a physician location. EMR request152(A) sent from location 264(A) over cellular network 115 triggers alookup of geolocation database 262 at mobile account management server150. Assume, merely for example purposes, that EMR request 152(A)comprises an update to a particular patient's EMR data including adiagnosis of pneumonia, an antibiotics prescription and an X-ray order.EMR response 158(A) generated and sent by mobile account managementserver 150 includes, in addition to an acknowledgement of the update,information about radiology laboratories and pharmacies located close tolocation 264(A).

Assume, merely for example purposes that mobile device 110 moves tolocation 264(B), corresponding to a location near a radiologylaboratory. EMR request 152(B) sent from location 264(B) over cellularnetwork 115 triggers a lookup of geolocation database 262 at mobileaccount management server 150. Assume, merely for example purposes, thatEMR request 152(B) comprises an “I am here” information update; EMRresponse 158(B) generated and sent by mobile account management server150 includes, in addition to an acknowledgement of the update, areminder to take the ordered X-ray at the nearby radiology laboratory.

Assume, merely for example purposes that mobile device 110 moves tolocation 264(C), corresponding to a location of a pharmacy. EMR request152(C) sent from location 264(C) over cellular network 115 triggers alookup of geolocation database 262 at mobile account management server150. Assume, merely for example purposes, that EMR request 152(C)comprises a request for the prescription updated from location 264(A).EMR response 158(C) generated and sent by mobile account managementserver 150 includes, in addition to the requested prescription,information about allergies, alternate pharmacies located nearby shouldthe pharmacy not carry the prescribed medication, and other locationrelevant information. Note that responses 158(A)-158(C) may each includea plurality of EMR responses 158(1)-158(N) that are responsive, intotality, to respective EMR requests 152(A)-152(C) and are individuallyoptimized for wireless transmissions over cellular network 115 to anappropriately receptive mobile device 110.

Turning to FIG. 6, FIG. 6 is a simplified block diagram illustratingexample details of an embodiment of system 200. Assume, merely forexample purposes and not as a limitation that a plurality of users266(1)-266(N) are interested in various portions of EMRs 147 pertainingto a specific patient (or patient identifier). For example, a physicianmay be interested in most recent diagnosis of the patient; a hospitalmay be interested in the most recent hospital visit of the patient; apharmacy may be interested in the most recent prescription delivered tothe patient; and so on. According to an example embodiment, users266(1)-266(N) may each be associated with a unique secure data container268(1)-268(N) at mobile device 110. Secure data containers 268(1)-268(N)may comprise separate authenticated, encrypted portions of memoryelement 224 in mobile device 110. Each secure data container268(1)-268(N) may correspond to separate EMR responses 158(A)-158(N);each EMR response 158 comprising a plurality of EMR responsesdifferentiated according to optimized wireless transmissions overcellular network 115 and other parameters.

In various embodiments, the mobile device user, for example, patient 112may control display of, or access to, information presented in eachseparate secure data container 268(1)-268(N). For example, patient 112may present information in secure data container 268(1) to her physicianat a doctor's visit; patient 112 may present information in secure datacontainer 268(2) to the hospital care providers at a hospital admission;and patient 112 may present information in secure data container 268(N)to the pharmacy when a prescription is being filled. Various embodimentsof system 200 facilitate patient 112 being in control of patient 112'shealth records at all times.

Turning to FIG. 7, FIG. 7 is a simplified flow diagram illustratingexample operations 300 that may be associated with an embodiment ofsystem 200. At 302, a user (e.g., healthcare provider 122) adds data topatient 112's EMRs 147 in EMR database 140, for example, through anappropriate EMR request 152. For example, the update could comprise aprescription for patient 112. At 304, the data change triggers a queryof EMRs 147 for information related to the update. For example, thequery may seek allergy information relevant to the prescription forpatient 112. At 306, EMR response 158 may be based on the returned queryresponse, comprising results set 156. For example, EMR response 158 maycomprise allergy information retrieved from patient 112's EMRs 147 andrelevant to the prescription. At 308, EMR response 158 may betransmitted to the user (e.g., healthcare provider 122) and patient 112(e.g., for informational purposes).

Turning to FIG. 8, FIG. 8 is a simplified flow diagram illustratingexample operations 320 that may be associated with an embodiment ofsystem 200. At 322, mobile account management server 150 may receive EMRrequest 152 from mobile device 110 over cellular network 115. At 324,mobile account management server 150 may filter EMR request 152 forrelevant data. For example, the filter may extract patient identifiers,medically relevant information (such as prescription information,diagnosis, etc.), location information, etc. At 326, mobile accountmanagement server 150 may generate an internal query for the filteredinformation in EMR database 140. At 328, mobile account managementserver 150 may perform the query over EMRs 147 stored in EMR database140. At 330, mobile account management server 150 may retrieve resultsset 156 in response to the query.

At 332, mobile account management server 150 may separate results set156 into a plurality of messages based on various parameters, includingcharacteristics of EMR response 250 and state information 240 stored incellular network database 218. At 334, mobile account management server150 may optionally translate the messages, for example, in semanticsappropriate for the recipient. At 336, mobile account management server150 may encrypt and secure the messages using appropriateauthentication, encryption and security protocols to generate EMRresponses 158(1)-158(N). At 338, mobile account management server 150may transmit EMR responses 158(1)-158(N) over corresponding cellularnetwork interfaces 130(1)-130(N) to mobile device 110.

It should be apparent to those skilled in the art that many moremodifications besides those already described are possible withoutdeparting from the inventive concepts disclosed herein. Moreover, ininterpreting both the specification and the claims, all terms should beinterpreted in the broadest possible manner consistent with the context.In particular, the terms “comprises” and “comprising” should beinterpreted as referring to elements, components, or steps in anon-exclusive manner, indicating that the referenced elements,components, or steps may be present, or utilized, or combined with otherelements, components, or steps that are not expressly referenced. Wherethe specification claims refers to at least one of something selectedfrom the group consisting of A, B, C . . . and N, the text should beinterpreted as requiring only one element from the group, not A plus N,or B plus N, etc.

The foregoing discussion provides many example embodiments of systemsand methods for mobile centric data custodians. Although each embodimentrepresents a single combination of various elements, all possiblecombinations of the disclosed elements are intended to be included inthe broad scope of the disclosure. Thus if one embodiment compriseselements A, B, and C, and a second embodiment comprises elements B andD, then the scope of the disclosure is considered to include otherremaining combinations of A, B, C, or D, even if not explicitlydisclosed.

As used in the description herein and throughout the claims that follow,the meaning of “a,” “an,” and “the” includes plural reference unless thecontext clearly dictates otherwise. Also, as used in the descriptionherein, the meaning of “in” includes “in” and “on” unless the contextclearly dictates otherwise.

In some embodiments, the numbers expressing quantities of ingredients,properties such as concentration, reaction conditions, and so forth,used to describe and claim certain embodiments of the subject matter areto be understood as being modified in some instances by the term“about.” Accordingly, in some embodiments, the numerical parameters setforth in the written description and attached claims are approximationsthat can vary depending upon the desired properties sought to beobtained by a particular embodiment. In some embodiments, the numericalparameters should be construed in light of the number of reportedsignificant digits and by applying ordinary rounding techniques.Notwithstanding that the numerical ranges and parameters setting forththe broad scope of some embodiments of the subject matter areapproximations, the numerical values set forth in the specific examplesare reported as precisely as practicable. The numerical values presentedin some embodiments of the subject matter may contain certain errorsnecessarily resulting from the standard deviation found in theirrespective testing measurements.

Unless the context dictates the contrary, all ranges set forth hereinshould be interpreted as being inclusive of their endpoints andopen-ended ranges should be interpreted to include only commerciallypractical values. Similarly, all lists of values should be considered asinclusive of intermediate values unless the context indicates thecontrary. The recitation of ranges of values herein is merely intendedto serve as a shorthand method of referring individually to eachseparate value falling within the range. Unless otherwise indicatedherein, each individual value is incorporated into the specification asif it were individually recited herein. All methods described herein canbe performed in any suitable order unless otherwise indicated herein orotherwise clearly contradicted by context. No language in thespecification should be construed as indicating any non-claimed elementessential to practice the subject matter disclosed herein.

Groupings of alternative elements or embodiments of the inventiondisclosed herein are not to be construed as limitations. Each groupmember can be referred to and claimed individually or in any combinationwith other members of the group or other elements found herein. One ormore members of a group can be included in, or deleted from, a group forreasons of convenience and/or patentability. When any such inclusion ordeletion occurs, the specification is herein deemed to contain the groupas modified thus fulfilling the written description of all Markushgroups used in the appended claims.

Note that in this Specification, references to various features (e.g.,elements, structures, modules, components, steps, operations,characteristics, etc.) included in “one embodiment”, “exampleembodiment”, “an embodiment”, “another embodiment”, “some embodiments”,“various embodiments”, “other embodiments”, “alternative embodiment”,and the like are intended to mean that any such features are included inone or more embodiments of the present disclosure, but may or may notnecessarily be combined in the same embodiments. The use of any and allexamples, or exemplary language (e.g. “such as”) provided with respectto certain embodiments herein is intended merely to better illuminatethe invention and does not pose a limitation on the scope of theembodiments otherwise claimed. No language in the specification shouldbe construed as indicating any non-claimed essential.

In example implementations, at least some portions of the activitiesoutlined herein may be implemented in software in, for example, mobileaccount management server 150. In some embodiments, one or more of thesefeatures may be implemented in hardware, provided external to theseelements, or consolidated in any appropriate manner to achieve theintended functionality. The various network elements may includesoftware (or reciprocating software) that can coordinate in order toachieve the operations as outlined herein. In still other embodiments,these elements may include any suitable algorithms, hardware, software,components, modules, interfaces, or objects that facilitate theoperations thereof.

Furthermore, adapter 16 and various other components described and shownherein (and/or its associated structures) may also include suitableinterfaces for receiving, transmitting, and/or otherwise communicatingdata or information in a network environment. Additionally, some of theprocessors and memory elements associated with the various nodes may beremoved, or otherwise consolidated such that a single processor and asingle memory element are responsible for certain activities. In ageneral sense, the arrangements depicted in the FIGURES may be morelogical in their representations, whereas a physical architecture mayinclude various permutations, combinations, and/or hybrids of theseelements. It is imperative to note that countless possible designconfigurations can be used to achieve the operational objectivesoutlined here. Accordingly, the associated infrastructure has a myriadof substitute arrangements, design choices, device possibilities,hardware configurations, software implementations, equipment options,etc. Moreover, all methods described herein can be performed in anysuitable order unless otherwise indicated herein or otherwise clearlycontradicted by context.

As used herein, and unless the context dictates otherwise, the term“coupled to” is intended to include both direct coupling (in which twoelements that are coupled to each other contact each other) and indirectcoupling (in which at least one additional element is located betweenthe two elements). Therefore, the terms “coupled to” and “coupled with”are used synonymously.

In some of example embodiments, one or more memory elements (e.g.,memory elements 204, 224, databases 140, 218, 262) can store data usedfor the operations described herein. This includes the memory elementbeing able to store instructions (e.g., software, logic, code, etc.) innon-transitory media such that the instructions are executed to carryout the activities described in this Specification. These devices mayfurther keep information in any suitable type of non-transitory storagemedium (e.g., random access memory (RAM), read only memory (ROM), fieldprogrammable gate array (FPGA), erasable programmable read only memory(EPROM), EEPROM, etc., software, hardware, or in any other suitablecomponent, device, element, or object where appropriate and based onparticular needs.

A processor can execute any type of instructions associated with thedata to achieve the operations detailed herein in this Specification. Inone example, processors (e.g., processors 202, 222) could transform anelement or an article (e.g., data) from one state or thing to anotherstate or thing. In another example, the activities outlined herein maybe implemented with fixed logic or programmable logic (e.g.,software/computer instructions executed by a processor) and the elementsidentified herein could be some type of a programmable processor,programmable digital logic (e.g., a field programmable gate array(FPGA), an erasable programmable read only memory (EPROM), anelectrically erasable programmable read only memory (EEPROM)), an ASICthat includes digital logic, software, code, electronic instructions,flash memory, optical disks, CD-ROMs, DVD ROMs, magnetic or opticalcards, other types of machine-readable mediums suitable for storingelectronic instructions, or any suitable combination thereof.

The information being tracked, sent, received, or stored in system 100could be provided in any database, register, table, cache, queue,control list, or storage structure, based on particular needs andimplementations, all of which could be referenced in any suitabletimeframe. Any of the memory items discussed herein should be construedas being encompassed within the broad term ‘memory element.’ Similarly,any of the potential processing elements, modules, and machinesdescribed in this Specification should be construed as being encompassedwithin the broad term ‘processor.’

It is also important to note that the operations and steps describedwith reference to the preceding FIGURES illustrate only some of thepossible scenarios that may be executed by, or within, the system. Someof these operations may be deleted or removed where appropriate, orthese steps may be modified or changed considerably without departingfrom the scope of the discussed concepts. In addition, the timing ofthese operations may be altered considerably and still achieve theresults taught in this disclosure. The preceding operational flows havebeen offered for purposes of example and discussion. Substantialflexibility is provided by the system in that any suitable arrangements,chronologies, configurations, and timing mechanisms may be providedwithout departing from the teachings of the discussed concepts.

Note also that the disclosed subject matter herein enables constructionor configuration of an adapter to operate on digital data (e.g., rawsensor data, alarm condition, etc.), beyond the capabilities of a humanor un-configured (e.g., off-the-shelf) medical device. Although thedigital data can represent sensor data, it should be appreciated thatsuch digital data is a representation of one or more digital models of apatient's medical measurements (and other indicators) and not themeasurements (or indicators) themselves, which comprise activities oroperations performed by sensors and/or adapters. By instantiation ofsuch digital models in the memory of an adapter, the adapter is able tomanage the digital models in a manner that could provide utility to anindividual (e.g., a user of the system) that the individual would lackwithout such a tool.

It should also be noted that any language directed to a computer shouldbe read to include any suitable combination of computing devices,including servers, interfaces, systems, databases, agents, peers,engines, controllers, or other types of computing devices operatingindividually or collectively. One should appreciate the computingdevices comprise a processor configured to execute software instructionsstored on a tangible, non-transitory computer readable storage medium(e.g., hard drive, solid state drive, random access memory (RAM), flashmemory, read-only memory (ROM), etc.). The software instructions canconfigure a suitable computing device to provide the roles,responsibilities, or other functionality as discussed herein withrespect to the disclosed apparatus. In some embodiments, the variousservers, systems, databases, or interfaces exchange data usingstandardized protocols or algorithms, possibly based on hyper-texttransfer protocol (HTTP), hyper-text transfer protocol secure (HTTPS),Advanced Encryption Standard (AES), public-private key exchanges, webservice application programming interfaces (APIs), known financialtransaction protocols, or other electronic information exchangingmethods. Data exchanges may be conducted over a packet-switched network,the Internet, local area network (LAN), wide area network (WAN), virtualprivate network (VPN), or other type of packet switched network.

As used in the description herein and throughout the claims that follow,when a system, engine, server, device, module, or other computingelement is described as configured to perform or execute functions ondata in a memory, the meaning of “configured to” or “programmed to”refers to one or more processors or cores of the computing element beingprogrammed by a set of software instructions stored in the memory of thecomputing element to execute the set of functions on target data or dataobjects stored in the memory.

One should appreciate that the disclosed techniques provide manyadvantageous technical effects including reduction in latency between acomputing device ingesting healthcare data and generating a predictionor recommendation. Latency is reduced through storage of health caredata in a memory and in the form of N-grams, which can becomputationally analyzed quickly.

Although the present disclosure has been described in detail withreference to particular arrangements and configurations, these exampleconfigurations and arrangements may be changed significantly withoutdeparting from the scope of the present disclosure. For example,although the present disclosure has been described with reference toparticular communication exchanges involving certain network access andprotocols, system 100 may be applicable to other exchanges or routingprotocols. Moreover, although system 100 has been illustrated withreference to particular elements and operations that facilitate thecommunication process, these elements, and operations may be replaced byany suitable architecture or process that achieves the intendedfunctionality of system 10.

Numerous other changes, substitutions, variations, alterations, andmodifications may be ascertained to one skilled in the art and it isintended that the present disclosure encompass all such changes,substitutions, variations, alterations, and modifications as fallingwithin the scope of the appended claims. In order to assist the UnitedStates Patent and Trademark Office (USPTO) and, additionally, anyreaders of any patent issued on this application in interpreting theclaims appended hereto, Applicant wishes to note that the Applicant: (a)does not intend any of the appended claims to invoke paragraph six (6)or (f) of 35 U.S.C. section 112 as it exists on the date of the filinghereof unless the words “means for” or “step for” are specifically usedin the particular claims; and (b) does not intend, by any statement inthe specification, to limit this disclosure in any way that is nototherwise reflected in the appended claims.

What is claimed is:
 1. A data record custodian system implemented by amobile carrier, comprising: a plurality of cellular network interfacesthat transmit and receive wireless communication over a cellularnetwork; an electronic medical record (EMR) database, coupled with theplurality of cellular network interfaces, that stores a plurality ofEMRs indexed at least according to mobile user accounts; a cellularnetwork database, coupled with the plurality of cellular networkinterfaces, that stores state information associated with the cellularnetwork, the mobile user accounts, and a plurality of mobile devices,the state information including information about one or more networkroutes of the cellular network, location information of the plurality ofmobile devices, and account terms of the mobile user accounts specifyingat least a permitted data volume or data format; a geolocation databasethat stores healthcare provider facility location information; and amobile account management server coupled with the cellular networkinterfaces, the EMR database, the cellular network database, and thegeolocation database, wherein the mobile account management server:provides, to a first mobile device from among the plurality of mobiledevices, access to EMRs associated with at least one mobile user accountfrom among the mobile user accounts in response to the locationinformation stored in the cellular network database indicating that asecond mobile device from among the plurality of mobile devices,associated with the at least one mobile user account, is within apredetermined distance of the first mobile device; receives an EMRrequest associated with the at least one mobile user account over thecellular network; queries the EMR database for a results set having EMRssatisfying the EMR request and as a function of the at least one mobileuser account; queries the geolocation database to retrieve healthcareprovider facility location information relevant to a location of thesecond mobile device as determined from the location information storedin the cellular network database; generates a plurality of EMR responsesto the EMR request as a function of the results set, the stateinformation stored in the cellular network database, and the healthcareprovider facility location information retrieved from the geolocationdatabase, each one of the plurality of EMR responses being formatted fora specific wireless protocol as a function of the information about theone or more network routes of the cellular network, the locationinformation of the second mobile device, and the account terms of the atleast one mobile user account; and transmits the plurality of EMRresponses over the plurality of cellular network interfaces to thesecond mobile device via the cellular network, the specific wirelessprotocol of each one of the plurality of EMR responses corresponding toa respective cellular network interface over which it is transmitted. 2.The data record custodian system of claim 1, wherein each cellularnetwork interface couples with at least one of the following wirelessnetworks: GSM, EDGE, HSPA, HSPA+, TD-LTE, CDMA, UMTS, WiMAX, EVDO, andWiFi, wherein different cellular network interfaces couples withdifferent wireless networks.
 3. The data record custodian system ofclaim 1, wherein the EMR database comprises a clinical operating system(cOS) service.
 4. The data record custodian system of claim 1, whereinthe mobile account management server comprises a clinical operatingsystem.
 5. The data record custodian system of claim 4, wherein the EMRrequest adheres to a protocol of the clinical operating system.
 6. Thedata record custodian system of claim 4, wherein the EMR requestcomprises at least one of the following: a monitoring service request,an alert request, a workflow request, a business service request, arouting services request, a validation request, a discovery servicerequest, a consent services request, and an event services request. 7.The data record custodian system of claim 4, wherein the mobile accountmanagement server is further configured to provide access to theclinical operating system via an application program interface (API). 8.The data record custodian system of claim 7, wherein the API ispublished via at least one of the plurality of cellular networkinterfaces.
 9. The data record custodian system of claim 7, wherein theAPI comprises a web service API.
 10. The data record custodian system ofclaim 1, wherein the EMR request comprises a healthcare servicestransaction.
 11. The data record custodian system of claim 10, whereinthe healthcare services transaction comprises at least one of thefollowing: a request for a service, a location of a service, a cost of aservice, a service authorization, a service authentication, a healthcareprovider request, and a service adjudication.
 12. The data recordcustodian system of claim 1, wherein the EMR request comprises ahealthcare goods transaction.
 13. The data record custodian system ofclaim 12, wherein the healthcare goods transaction comprises at leastone of the following: a healthcare product purchase, a prescription, anda healthcare product lease.
 14. The data record custodian system ofclaim 1, wherein the EMR request comprises a records transaction. 15.The data record custodian system of claim 14, wherein the recordstransaction comprises at least one of the following: a record writetransaction, a record read transaction, a record create transaction, arecord delete transaction, and a record modify transaction.
 16. The datarecord custodian system of claim 1, wherein the EMR request compriseshealthcare context data.
 17. The data record custodian system of claim16, wherein the healthcare context data comprises a contextualrepresentation of at least one of the following: the second mobiledevice, a patient, a healthcare provider, a service, a product, alocation, and an event.
 18. The data record custodian system of claim16, wherein the mobile account management server is further configuredto generate the plurality of EMR responses as a function of thehealthcare context data.
 19. The data record custodian system of claim16, wherein the healthcare context data includes at least one of thefollowing attributes: an absolute location, a relative location, a time,a patient identifier, a healthcare provider identifier, a weathercondition, a traffic condition, an urgency, a priority, a certificationrequirement, and a relationship requirement.
 20. The data recordcustodian system of claim 1, wherein the EMRs comprise patient records.21. The data record custodian system of claim 1, wherein the EMRscomprise healthcare provider records.
 22. The data record custodiansystem of claim 1, wherein the EMRs comprise employer healthcarerecords.
 23. The data record custodian system of claim 1, wherein theEMRs comprise employee healthcare records.
 24. The data record custodiansystem of claim 1, wherein at least one of the EMR responses comprises apayment authorization request associated with the mobile user account.25. The data record custodian system of claim 1, wherein at least one ofthe EMR responses comprises a payment to an account associated with thesecond mobile device.
 26. The data record custodian system of claim 1,wherein the EMR database is further configured to store the plurality ofEMRs according to a secured format.
 27. The data record custodian systemof claim 26, wherein the secured format adheres to a cryptographicstandard and depends on the mobile user account.
 28. The data recordcustodian system of claim 26, wherein the secured format adheres to asecure function that depends on a patient's authentication key.
 29. Thedata record custodian system of claim 26, wherein the secured formatcomprises a homomorphic encryption format.
 30. The data record custodiansystem of claim 1, further comprising an analytics engine coupled withthe mobile account management server and configured to compile analyticsbased on the results set and wherein the plurality of EMR responsesincludes the analytics.
 31. The data record custodian system of claim 1,wherein the second mobile device comprises a smart phone.
 32. The datarecord custodian system of claim 1, wherein the second mobile deviceincludes at least one of the following: a vehicle, a robot, a tablet, amedical device, a sensor, and a device server.
 33. The data recordcustodian system of claim 1, wherein the plurality of mobile devicesincludes at least one of the following: a point of sales terminal, akiosk, a vehicle, and a tablet.
 34. A method comprising: providing, to afirst mobile device, access to electronic medical records (EMRs)associated with a mobile user account from among a plurality of mobileuser accounts in response to location information indicating that asecond mobile device associated with the mobile user account is within apredetermined distance of the first mobile device; receiving anelectronic medical record (EMR) request associated with the mobile useraccount over a cellular network; querying an EMR database for a resultsset having EMRs satisfying the EMR request and as a function of themobile user account, the EMR database storing a plurality of EMRsindexed at least according to the plurality of mobile user accounts;querying a geolocation database to retrieve healthcare provider facilitylocation information relevant to a location of the second mobile device;generating a plurality of EMR responses to the EMR request as a functionof the results set, the retrieved healthcare provider facility locationinformation, and state information associated with the cellular network,the plurality of mobile user accounts, and a plurality of mobile devicesincluding the first mobile device and the second mobile device, whereinthe state information is stored in a cellular network database andincludes information about one or more network routes of the cellularnetwork, the location information of the plurality of mobile devices,and account terms of the plurality of mobile user accounts specifying atleast a permitted data volume or data format, wherein each one of theplurality of EMR responses is formatted for a specific wireless protocolas a function of the information about the one or more network routes ofthe cellular network, the location information of the second mobiledevice, and the account terms of the mobile user account; andtransmitting the plurality of EMR responses over a plurality of cellularnetwork interfaces to the second mobile device via the cellular network,the specific wireless protocol of each one of the plurality of EMRresponses corresponding to a respective cellular network interface overwhich it is transmitted.
 35. A non-transitory program storage medium onwhich are stored instructions executable by a processor or programmablecircuit to perform operations comprising: providing, to a first mobiledevice, access to electronic medical records (EMRs) associated with amobile user account from among a plurality of mobile user accounts inresponse to location information indicating that a second mobile deviceassociated with the mobile user account is within a predetermineddistance of the first mobile device; receiving an electronic medicalrecord (EMR) request associated with the mobile user account over acellular network; querying an EMR database for a results set having EMRssatisfying the EMR request and as a function of the mobile user account,the EMR database storing a plurality of EMRs indexed at least accordingto the plurality of mobile user accounts; querying a geolocationdatabase to retrieve healthcare provider facility location informationrelevant to a location of the second mobile device; generating aplurality of EMR responses to the EMR request as a function of theresults set, the retrieved healthcare provider facility locationinformation, and state information associated with the cellular network,the plurality of mobile user accounts, and a plurality of mobile devicesincluding the first mobile device and the second mobile device, whereinthe state information is stored in a cellular network database andincludes information about one or more network routes of the cellularnetwork, the location information of the plurality of mobile devices,and account terms of the plurality of mobile user accounts specifying atleast a permitted data volume or data format, wherein each one of theplurality of EMR responses is formatted for a specific wireless protocolas a function of the information about the one or more network routes ofthe cellular network, the location information of the second mobiledevice, and the account terms of the mobile user account; andtransmitting the plurality of EMR responses over a plurality of cellularnetwork interfaces to the second mobile device via the cellular network,the specific wireless protocol of each one of the plurality of EMRresponses corresponding to a respective cellular network interface overwhich it is transmitted.
 36. The data record custodian system of claim1, wherein said providing access to EMRs includes pre-caching the EMRsin the first mobile device.
 37. The data record custodian system ofclaim 1, wherein said providing access to EMRs includes unlocking theEMRs in the first mobile device.
 38. The data record custodian system ofclaim 29, wherein the EMR database and the mobile account managementserver are accessible within a homomorphic encryption space where dataexchanges adhere to the homomorphic encryption format.